What is the difference between BaggingClassifier and RandomForestClassifier?

Random Forest is a specialized form of bagging that adds feature randomness.

BaggingClassifier allows any base estimator and uses bootstrap sampling. RandomForestClassifier specifically uses decision trees and introduces random feature selection at each split, improving diversity and reducing correlation between trees.